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E.g., 06/16/2019
E.g., 06/16/2019
Mar 06, 2019 • By: Adron Hall

Let’s talk about the analogy of Apache Cassandra Datacenter & Racks to actual datacenter and racks. I kind of enjoy the use of the terms datacenter and racks to describe architectural elements of Cassandra. However, as time moves on the relationship between these terms and why they’re called datacenter and racks can be obfuscated.

Feb 27, 2019 • By: Andrzej Ludwikowksi

Cassandra is a super fast and scalable database. In the right context, this statement is more or less true. Of course, our context is how we are using this database. And believe me, if you have never used distributed databases before, this would be a completely different experience. Many people argue that Cassandra is actually not that fast when it comes to reads. Well, in many cases that’s true, and in many cases this is only an effect of a wrong understanding of this tool. For sure it is hard to compete with Cassandra when you are comparing write performance, so let’s deep dive into the write path.

Feb 27, 2019 • By: Jeff Carpenter

In the first post in this series, I described the KillrVideo reference application and my motivation for creating a new implementation of the microservices tier for KillrVideo in Python.

In this post, I’d like to start tracing the development of this Python application in somewhat chronological order. So, here goes…

Feb 20, 2019 • By: Adron Hall

When I worked at Basho in 2013, I wrote about consistent hashing as part of a series called “Learning About Distributed Databases”. Today I’m kicking that back off after a few years (ok, after 5 or so years!) with this post on consistent hashing.

Feb 14, 2019 • By: Jeff Carpenter

After a busy fall of travel doing advocacy at Strata NYC and several DataStax Developer Day events, I had the privilege of a month with no travel. I figured this was the perfect time to take on a development project I’d been thinking about for a while: creating an implementation of the KillrVideo reference application in Python — specifically, the microservices tier.

Feb 12, 2019 • By: Jeff Carpenter, David Gilardi

The DataStax Developer Relations team has been on the road a lot lately, meeting our developer communities at events like Developer Days and industry conferences. We’ve had so many great conversations that we thought we’d share some of the highlights with you.

Jan 29, 2019 • By: Jeff Carpenter, Patrick McFadin

Patrick McFadin and Jeff Carpenter from the DataStax Developer Relations team chat about what talks they want to attend at conferences in general and what abstracts they would love to see community members submitting for DataStax Accelerate's Call for Papers

Jan 09, 2019 • By: Todd McGrath

How do you ingest from an existing relational database (RDBMS) to an Apache Cassandra or DataStax Enterprise cluster?

What about a one-time batch loading of historical data vs. streaming changes?

Jan 04, 2019 • By: Jeff Carpenter, David Gilardi, Cedrick Lunven, Eric Zietlow, Cristina Veale

We asked a few of our Developer Advocates to share some highlights from what has been a super busy, super rewarding year serving our developer community and what they’re excited about for the coming year.

Jan 03, 2019 • By: Michael Fero

Over the past couple of months, we’ve released new versions of our C/C++ drivers for DataStax Enterprise (v1.6.0+) and Apache Cassandra (v2.10.0+). These releases fundamentally changed the internals of the C/C++ drivers and are the biggest releases for the driver since the initial 1.0.0 release. They included a complete refactor of the internal components and increased test coverage. The refactor has to lead to substantially improved performance, decreased resource utilization, and it has enabled us to better unit test internal components.